This site is meant to let you store and navigate ontologies
The Crop Ontology project is the creation of the Generation Challenge Programme (GCP, http://www.generationcp.org/ ), which understood from its inception the importance of controlled vocabularies and ontologies for the digital annotation of data. In ontologies, terms bear a particular, logically defined relationship to each other, allowing computational reasoning on data annotated with a structured vocabulary. The volume of agriculture-related information and terminology related to phenotype, breeding, germplasm, pedigree, traits, among others, is increasing exponentially. In order to facilitate access to the data held within and/or across the databases, GCP initiated the development of Trait Dictionaries for breeders' fieldbooks and a Crop Ontology (CO) to facilitate the harmonization of the data capture and powerful manipulations of the data through ontology-driven queries. This is a development that raised interest in CGIAR Centres and other communities, like the Gramene team developing the Plant Trait Ontology, ecologists and semantic web developers holding vast quantities of agriculture-related data. The project will continue the incremental validation and refinement of the Crop Ontology, which involves adding methods of trait measurement and experiments to enable the mapping of ontology terms onto measured, stored or published variables.The Crop Ontology is a key element of the Integrated Breeding Platform https://www.integratedbreeding.net/
The Crop Ontology (CO) current objective is to compile validated concepts along with their inter-relationships on anatomy, structure and phenotype of Crops, on trait measurement and methods as well as on Germplasm with the multi-crop passport terms. The concepts of the CO are being used to curate agronomic databases and describe the data. The use of ontology terms to describe agronomic phenotypes and the accurate mapping of these descriptions into databases is important in comparative phenotypic and genotypic studies across species and gene-discovery experiments as it provides harmonized description of the data and therefore facilitates the retrieval of information. Development of crop-specific trait ontologies and the germplasm ontologies began in 2008 for chickpea, maize, Musa, potato, rice and wheat, and in 2010 for cassava. The GCP Crop Ontology is a global public good, available to be used freely by all.
This curation and annotation web site is a participatory tool that enables you to browse the Crop Ontology, search for specific terms and access the definition, as well as additional information. It is possible to post a suggestion at the level of a term and provide feedback on your experience using the site. Please, consult the video tutorials to get a visual explanation of the web site use.
The Ontology curators are able to upload a full ontology in OBO format, create it online, add attribute information, and submit or delete terms from the Crop Ontology. Researchers can also submit/deposit trait names using the curation/annotation tool ‘add an ontology’ to increment the tool’s capacity.
The tool is still under development, so your feedback will help to improve it. Please provide any comments or suggestions using the ‘Feedback’ button.
This work was greatly inspired by the Crop Ontology Look-up service developed by Martin Senger, consultant in Bioinformatics, and by Terminizer, online annotation tool developed by David Hancock, from the University of Manchester.
Citation: “Crop Ontology curation and annotation tool – 2011 Generation Challenge Programme, Bioversity International as project implementing agency.”
2012 - Shrestha Rosemary, Matteis Luca, Skofic Milko, Portugal Arlett, McLaren Graham, Hyman Glenn, Arnaud Elizabeth - Bridging the phenotypic and genetic data useful for integrated breeding through a data annotation using the Crop Ontology developed by the crop communities of practice , in Frontiers in Physiology , vol.3, no.0326 URL=http://www.frontiersin.org/Journal/Abstract.aspx?s=907&name=plant_physiology&ART_DOI=10.3389/fphys.2012.00326
2012 - Elizabeth Arnaud, Laurel Cooper, Rosemary Shrestha, Naama Menda, Rex T. Nelson, Luca Matteis, Milko Skofic, Ruth Bastow, Pankaj Jaiswal, Lukas Mueller, Graham McLaren: Towards a Reference Plant Trait Ontology For Modeling Knowledge of Plant Traits and Phenotypes in: proceedings of the 4th Conference on Knowledge Engineering and Ontology Development, 4-7 October 2012 , Spain.
2010 - Rosemary Shrestha, Elizabeth Arnaud, Ramil Mauleon, Martin Senger, Guy F. Davenport, David Hancock, Norman Morrison, Richard Bruskiewich, and Graham McLaren - Multifunctional crop trait ontology for breeders' data: field book, annotation, data discovery and semantic enrichment of the literature, AoB PLANTS (2010) Vol. 2010 first published online May 27, 2010 doi:10.1093/aobpla/plq008 - http://aobpla.oxfordjournals.org/citmgr?gca=aobpla;2010/0/plq008
2011 - Shrestha Rosemary, Guy F Davenport, Richard Bruskiewich and Elizabeth Arnaud in : Monneveux Philippe and Ribaut Jean-Marcel, eds (2011). Drought phenotyping in crops: from theory to practice CGIAR Generation Challenge Programme, Texcoco, Mexico. ISBN: 978-970-648-178-8. 475pp. Chapter is: Development of crop ontology for sharing crop phenotypic information .